{"id":"W2084909518","doi":"10.4018/jswis.2013010103","title":"PragmatiX","year":2013,"lang":"en","type":"article","venue":"International Journal on Semantic Web and Information Systems","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health; Canadian Institute for Theoretical Astrophysics","keywords":"Ontology; Ontology engineering; Computer science; Process ontology; Visualization; Collaborative engineering; Process (computing); Upper ontology; Quality (philosophy); Data science; Ontology-based data integration; World Wide Web; Semantic Web; Work in process; Engineering; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003688511,0.0001171197,0.0001460752,0.000339421,0.0001143971,0.002181139,0.0006797494,0.00005618368,0.0000355245],"category_scores_gemma":[0.0001099789,0.00008475208,0.0000487308,0.00009857508,0.00002584862,0.006261768,0.0001036727,0.0001565671,0.0009601745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004515536,"about_ca_system_score_gemma":0.00005876888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003885848,"about_ca_topic_score_gemma":5.016747e-7,"domain_scores_codex":[0.9985241,0.00005052318,0.0005373716,0.00009303202,0.0006291067,0.0001659121],"domain_scores_gemma":[0.9987961,0.00009809056,0.0003230504,0.0001678103,0.0005095628,0.0001053648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001622406,0.0000673371,0.003264266,0.00005089264,0.0002076027,0.0000349684,0.002103397,0.000556768,0.0003031669,0.8547903,0.04208473,0.09652034],"study_design_scores_gemma":[0.002375279,0.000323557,0.03331427,0.0004751597,0.00001188793,0.004740861,0.001904593,0.4149841,0.0002976157,0.004855365,0.5361072,0.0006101116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3868614,0.0005592525,0.4389952,0.02887231,0.02025616,0.0009579415,0.000009630009,0.0005292695,0.1229589],"genre_scores_gemma":[0.9966656,0.0001714224,0.001109002,0.001595245,0.0002237738,0.00001408385,0.000002649801,0.000003026705,0.0002152138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8499349,"threshold_uncertainty_score":0.9998177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009441730628565551,"score_gpt":0.2338922141541526,"score_spread":0.2244504835255871,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}